Nitesh BansalSenior Vice President and Head of Manufacturing Practice – Americas and Europe, Infosys

Industry 4.0: The Tipping Point For Manufacturers

Inside a seafood processing facility in Norway: Machines, not humans, evaluate the quality of salmon, weigh and grade the fish, and distribute it to the production units. Soon, machines will also calculate the quantity of ice required for transportation of the fish to its respective destination.

A thousand miles away, at another manufacturing plant in Germany: Machines produce millions of Programmable Logic Controls (PLCs) that automate machinery – from ships, automobiles, and farm equipment to entire production centers around the world. The output of customized products manufactured at the plant is 99.99885% defect free!

A common strand that runs the two facilities is the ‘smart factory’ ecosystem described above is that the physical infrastructure is powered by information and communications technologies, which draw insights from the data in the landscape. Here, automation is powered by insights, which enable the executing of business processes and deliver programmed output with minimal human intervention. Such a cyber-physical environment, founded on the Industrial Internet of Things (IIoT), is the very basis of the fourth industrial revolution that is bringing never before ‘intelligence’ to manufacturing.

Fully optimized lean production

Industry 4.0 transforms how factories operate by creating a conducive environment for Just-In-Time (JIT) practices for production, order management, and shipment. It not only interconnects disparate sub-systems of a shop floor, but also establishes digital links between the assembly line or processing unit, and the product design office, logistics services, supply chain, and stakeholders. A ‘connected’ plant manufactures high-quality products in shorter production cycles and addresses customer demand for product variety, besides minimizing waste across operations.

The interplay of sensors, data, and analytics is the catalyst for this revolution.

Sensors

Connected factories track the location of labor, materials, machines, and moveable assets in real time. IIoT digitizes the production environment by integrating the Manufacturing Execution System (MES) and ERP system with embedded devices and process instruments for real-time communication. For instance, smart tags can be embedded to transform a spare parts bin at a production facility into an autonomous bin, which digitally records location and content, and communicates when it needs to be replenished.

Self-driving vehicles, geo-fencing systems for transportation and materials handling, hazard monitoring solutions used for industrial safety and security, and remote quality control tools to manage air, water, and product quality depend on sensors and communication technology to function optimally. The network of connected components, sensors, and controllers provide large volumes of useful data in a variety of forms and formats.

Flexible operations and real-time data from human, system-to-system and human communication protocols improve quality and reliability through timely interventions before and during manufacturing. IIoT leverages data to drive self-organizing production lines. In the case of the autonomous bin, when sensors trigger a replenishment request, data in the order management system responds to the requirement. Synchronization of production schedules and supply chain activities based on real-time data from IoT devices enable just-in-time arrival of materials in the bin.

The value of IIoT transcends automated measuring, sensing, and control of operations. Advanced analytical tools and cognitive models intelligently apply big data to create a responsive and self-healing environment for the factory of tomorrow. Predictive analytical tools harness actionable intelligence from the customer, supplier, equipment, and production data.

Automated maintenance, ordering, receiving, assembly, shipping, and after-sales services ensure agility, while analytics drives self-optimization. Going back to the example of the autonomous bin, while sensor information and automated order data management enable JIT inventory strategy, analytical frameworks can identify areas for further efficiency and cost reduction – through rearrangement of the sequence in the production line, re-configuring the product that uses the part, or replacement with a more economical component.

Industry 4.0 helps the manufacturing ecosystem to autonomously sense the context, adapt to constraints, and react/organize preemptive action to achieve business goals. Even with this digital monitoring of physical processes through sensor-based technologies, the industrial application of the Internet of Things (IoT) and data analytics will lead to fact-based decision-making that will, in turn, be executed as a matter of routine by automatons, people will still drive the future of manufacturing. People, freed from routine by technology, will find ways to direct their new-found productivity into tasks that can only be executed with human imagination and intelligence – like the creation of useful new products that must be manufactured to solve the problems of our times.